code: def test_RangeCalculation(params):
      (
          (
              total,
              num_replicas,
              num_workers,
              batch_size,
              drop_last,
              drop_uneven_inputs,
          ),
          key,
      ) = params
      answer = []
      sum = 0
      for rank in range(num_replicas):
          for worker_id in range(max(num_workers, 1)):
              result = gb.internal.calculate_range(
                  True,
                  total,
                  num_replicas,
                  rank,
                  num_workers,
                  worker_id,
                  batch_size,
                  drop_last,
                  drop_uneven_inputs,
              )
              assert sum == result[0]
              sum += result[1]
              answer.append((result[1], result[2]))
      assert key == answer
  
imports: import os
  import re
  from sys import platform
  import dgl
  import pytest
  import torch
  import torch.distributed
  import torch.multiprocessing
  from dgl import graphbolt
  from torch.testing import assert_close
label_desc: Use image node_id 18 for calling a global function with example usage: test_RangeCalculation(params) without return types